https://www.mfun.ink/tags/reranker/ Recent content in Reranker on Mengboy 技术笔记 Hugo -- 0.156.0 zh-cn Tue, 17 Feb 2026 10:56:00 +0800 https://www.mfun.ink/english/post/rag-retrieval-rerank-eval-loop/ Tue, 17 Feb 2026 10:56:00 +0800 https://www.mfun.ink/english/post/rag-retrieval-rerank-eval-loop/ <p>If your RAG system feels unreliable, switching to a more expensive LLM is usually the wrong first move. In most cases, the bottleneck is retrieval quality: weak recall, poor ranking, and no measurement loop.</p> <p>This guide gives a practical path: make recall broader, make ranking sharper, then close the loop with offline + online evaluation.</p>